Construction of Injury Prediction Models for Vehicle Occupants Based on Video – recorded Drive Recorder Information

DOI

Bibliographic Information

Other Title
  • 映像記録型ドライブレコーダーへの活用に向けた自動車乗員の傷害予測モデルの検討

Abstract

To predict vehicle occupant injuries based on accident information obtained from a video-recorded drive recorder, injury prediction models were constructed by machine learning using information currently available from drive recorders and information that is expected to be acquired hereafter. Light Gradient Boosting Machine and Bayesian Networks were used for the machine learning models. The results showed that it was difficult to predict injuries with only the information currently available from a video-recorded drive recorder, while the prediction model with additional information expected to be available hereafter improved the prediction accuracy.

Journal

Keywords

Details 詳細情報について

  • CRID
    1390862545803738624
  • DOI
    10.11351/jsaeronbun.55.354
  • ISSN
    18830811
    02878321
  • Text Lang
    ja
  • Data Source
    • JaLC
  • Abstract License Flag
    Disallowed

Report a problem

Back to top